Report & Dashboard Development: Design, develop, and maintain high‑quality, accessible interactive Power BI dashboards and reports that clearly communicate key performance indicators (KPIs) and business insights.
Data Modeling & Transformation: Build and optimize semantic data models, including relationships, calculated columns, and measures using DAX. Perform data extraction, transformation, and loading (ETL) using Python and Power Query (M).
Data Source Integration: Connect, consolidate, and manage data from multiple sources such as SQL databases, Azure services, Excel, and other enterprise systems into reliable, well‑structured datasets.
Performance Optimization: Tune data models and DAX calculations to ensure optimal performance, scalability, and user experience.
Security & Platform Administration: Implement and maintain row‑level security (RLS), manage Power BI workspaces and apps, and support capacity and governance best practices within the Power BI Service.
Stakeholder Collaboration: Partner with business stakeholders to gather requirements, translate business needs into analytical solutions, and deliver actionable, decision‑ready insights.
Documentation & Standards: Create and maintain clear documentation for data models, transformation logic, report definitions, and operational procedures to support transparency and long‑term maintainability.
Requirements
An online portfolio with examples with nonconfidential data that demonstrates your analysis skills
Advanced experience with Microsoft Power BI, DAX, Power Query, M, ETL, Python, PySpark, SQL
Microsoft Certifications for any of the following: Power BI Data Analyst Associate (PL-300), Analytics Engineer Associate (DP-600), Fabric Data Engineer Associate (DP-700)
Prior experience with Microsoft Fabric, relational and non-relational databases, data pipelines, medallion architecture, star schema, Microsoft Power Platform (Power BI, Power Automate, Power Apps, Copilot Studio)
Strong focus on user experience, interaction design, data visualization, and accessibility best practices
5+ years of work experience or equivalent in delivering large-scale, complex programs with a strong focus on technology transformation, big data, automation, analytics, and business intelligence
Tech Stack
Azure
ETL
PySpark
Python
SQL
Benefits
Permanent contract from day one
Additional holidays (Birthday Day Off, 3rd and 5th year anniversary Day Off)
Gold Medical Package for employees and their families (partner and children)
Premium life insurance package and private pension plan
Wide range of soft skills training, technical workshops, language classes and development programs
Opportunities to volunteer your time to company-driven initiatives, employee networks or organizations of your choice
Variety of well-being programs
Additional benefits available depending on the seniority of the role